Philemon Brakel

According to our database1, Philemon Brakel authored at least 26 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Light Gated Recurrent Units for Speech Recognition.
IEEE Trans. Emerging Topics in Comput. Intellig., 2018

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.
CoRR, 2018

Light Gated Recurrent Units for Speech Recognition.
CoRR, 2018

2017
Improving speech recognition by revising gated recurrent units.
CoRR, 2017

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks.
CoRR, 2017

Batch-normalized joint training for DNN-based distant speech recognition.
CoRR, 2017

A network of deep neural networks for distant speech recognition.
CoRR, 2017

Improving Speech Recognition by Revising Gated Recurrent Units.
Proceedings of the Interspeech 2017, 2017

A network of deep neural networks for Distant Speech Recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Invariant Representations for Noisy Speech Recognition.
CoRR, 2016

An Actor-Critic Algorithm for Sequence Prediction.
CoRR, 2016

Batch-normalized joint training for DNN-based distant speech recognition.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks.
Proceedings of the Interspeech 2016, 2016

Deconstructing the Ladder Network Architecture.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Batch normalized recurrent neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

End-to-end attention-based large vocabulary speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Deconstructing the Ladder Network Architecture.
CoRR, 2015

Batch Normalized Recurrent Neural Networks.
CoRR, 2015

Task Loss Estimation for Sequence Prediction.
CoRR, 2015

End-to-End Attention-based Large Vocabulary Speech Recognition.
CoRR, 2015

2013
Training energy-based models for time-series imputation.
Journal of Machine Learning Research, 2013

Bidirectional truncated recurrent neural networks for efficient speech denoising.
Proceedings of the INTERSPEECH 2013, 2013

2012
Oger: modular learning architectures for large-scale sequential processing.
Journal of Machine Learning Research, 2012

Energy-Based Temporal Neural Networks for Imputing Missing Values.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Audio-based Music Classification with a Pretrained Convolutional Network.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011


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